A global parameter estimation method for a permanent magnet synchronous machines
(PMSM) drive system is proposed, where the electrical parameters, mechanical parameters …

A dynamic particle swarm optimization with learning strategy (DPSO-LS) is proposed for key
parameter estimation for permanent magnet synchronous machines (PMSMs), where the …

Condition monitoring and preventative maintenance are essential for reliable and efficient
operation of permanent magnet synchronous machines driven by inverters. There are two …

This study presents a self‐commissioning procedure for the estimation of the flux linkage
curves of synchronous reluctance machines. The procedure exploits a quasi‐standstill …

In this paper, an accurate parameter estimation model of surface permanent magnet
synchronous machines (SPMSMs) is established by taking into account voltage-source …

In this paper, a current control scheme with switching-gain adaptation is proposed for
brushless DC motors. The scheme includes two components, namely a continuous control …

Permanent magnet synchronous machines designed with single-layer fractional slot
concentrated windings are inherently fault tolerant; however, this does not eliminate the …

This paper presents a dynamic method that derives the magnetic model of permanent
magnet synchronous machines. The method uses the moment of inertia of the rotating parts …

Aiming at the problem of poor identification accuracy in traditional particle swarm
optimization algorithms, an adaptive search particle swarm optimization algorithm …

This paper presents an elaborate scheme, which is different from the traditional parameter
identification method, to estimate the parameters precisely for high-speed magnetic …